Visualizations and plotting in Julia

Automatically update function definitions in a running Julia session

Forward Mode Automatic Differentiation for Julia

Macro(s) for vectorizing loops.

Statically sized arrays for Julia

Julia implementation of Data structures

Progress meter for long-running computations

An experimental code analyzer for Julia. No need for additional type annotations.

Basic statistics for Julia

The slow descent into madness

Fast, continuous interpolation of discrete datasets in Julia

HDF5-compatible file format in pure Julia

Types with default field values, keyword constructors and (un-)pack macros

A Julia package for evaluating distances (metrics) between vectors.

An optimized graphs package for the Julia programming language

High performance nearest neighbor data structures and algorithms for Julia.

A Julia package for data clustering

Special mathematical functions in Julia

Making packages work faster with more extensive precompilation

MacroTools provides a library of tools for working with Julia code and expressions.

A Julia frontend, written in Julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Julia bindings to the FFTW library for fast Fourier transforms

Main Package for IO, loading all different kind of files

Lazy code loading for Julia

Performant arrays where each dimension can have a named axis with values

Color manipulation utilities for Julia

Abstract julia interfaces for working with trees

Fortran-like arrays with arbitrary, zero or negative starting indices.

A fresh approach to coordinate transformations...

Colorschemes, colormaps, gradients, and palettes

Interpreter for Julia code

Julia implementations for different rotation parameterizations

Simple Traits for Julia

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Reduce time-to-first-execution of Julia code

Common functional iterator patterns

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

It's editing-time, do you know where your methods are?